Avaland Berhad, an investment holding company, (5182) Fair Value & Analysis
Real Estate · MY · Market cap 255M MYR
Fair value as of: Jun 26, 2026
Analysis
Avaland Berhad, an investment holding company, (5182) currently trades at 0.1650 MYR, while our model-based Fair Value estimate is 0.2300 MYR — implying the stock looks roughly 39.4% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Avaland Berhad, an investment holding company, operates as a property development company in Malaysia. It operates through Property Development, Investment Holding, Complementary Business, and Others segments. The company develops residential and commercial properties. It is also involved in the provision of civil and mechanical engineering, maintenance, and utility services; leasing of properties; management and construction services; electrical works; trading of construction materials; rental of plant and machinery; provision of sales and marketing services for property development; and property investment and management services. Avaland Berhad was formerly known as MCT Berhad and changed its name to Avaland Berhad in June 2023. The company was incorporated in 2009 and is headquartered in Subang Jaya, Malaysia. Avaland Berhad is a subsidiary of Regent Wise Investments Limited.
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.